hl-build-voice-app
Build a voice assistant with Whisper STT and Piper TTS for Hailo-10H.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Build a voice assistant with Whisper STT and Piper TTS for Hailo-10H.
Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.
Map knowledge components and skill hierarchies for a cognitive tutoring system or adaptive learning platform. Use when designing intelligent tutoring software or skill-based mastery systems.
Automatically generate production-ready Skills for any software, API, CLI tool, library, workflow, or service. Use this skill whenever the user wants to create a skill from scratch for a target application, convert an existing tool into an agent-native skill, generate skills for multiple platforms (Claude Code, OpenClaw, Codex), or automate the full skill creation pipeline including analysis, design, implementation, testing, optimization, and multi-platform packaging. Also use when the user mentions "skill-anything", "generate a skill for", "make a skill from", "skillify", or wants to turn any software into an agent-ready skill. Even if they just say "create a skill for X" where X is any tool or API, this skill should trigger.
Self-diagnostic skill for godotmaker itself. Invoked when the main pipeline can't make progress (e.g. several fixgap rounds in a row failed to converge). NOT a "smarter fixgap" — does not modify game code, does not write files, only reports diagnosis to chat. If a godotmaker-side defect is the root cause, drafts an issue the user can post upstream. Explicit invocation only — use /gm-rescue.
Audit the agent's own skill library for malicious, misconfigured, or untrusted SKILL.md files. Use when asked to review skills, audit the skill library, check for prompt injection in skills, or before adding skills from an external source.
Use when writing or reviewing Python code in this repo that builds an interactive voice agent via `agent.deepgram.com/v1/agent/converse`. Covers `client.agent.v1.connect()`, `AgentV1Settings`, `send_settings`, `send_media`, event handling, and function/tool calling. Full-duplex STT + LLM + TTS with barge-in. Use `deepgram-python-text-to-speech` for one-way synthesis, `deepgram-python-speech-to-text` / `deepgram-python-conversational-stt` for transcription only. Triggers include "voice agent", "agent converse", "full duplex", "interactive assistant", "barge-in", "agent.v1", "function calling", "AgentV1Settings".
Migrate an application from any LLM to Amazon Nova 1 or Nova 2 end-to-end. Orchestrates prompt optimization (delegates to /nova1-prompt or /nova2-prompt), captures a baseline from the source model, evaluates the migrated prompt against a task-derived rubric, and runs a refine loop that re-optimizes when Nova regresses against the baseline. Supports user-provided tests (JSONL or YAML), pre-recorded baselines (no API keys needed), or synthetic test generation. Use this skill when a user wants to port an existing prompt or app to Nova and needs confidence that quality is preserved or improved.
Rewrite and optimize prompts for Amazon Nova 1 models (Nova Micro, Lite, Pro, Premier). Use this skill when the user wants to migrate, convert, or optimize a prompt specifically for Nova 1. Do NOT use this for Nova 2 — use /nova2-prompt instead.
Rewrite and optimize prompts for Amazon Nova 2 Lite. Handles both text/agentic and multimodal use cases (images, video, documents). Applies the correct inference config (temperature, reasoning mode) per use case. For multimodal cases, enforces the critical system-prompt limitation. Use this skill when the user wants to migrate, convert, or optimize a prompt specifically for Nova 2 Lite. Do NOT use this for Nova 1 — use /nova1-prompt instead.